How 13 Global Industries Use Artificial Intelligence

Getting Smarter by the Day

How AI is Elevating the Performance of Global Companies

The AI Pursuits of 13 Industries

Part 2 of TCS' Global Trend Study on Artificial Intelligence presents the results of our research in the 13 industries that we surveyed. Three industries outspent the others on AI in 2015: insurance, consumer packaged goods and high tech.

Automotive

Banking and Financial Services

Consumer Packaged Goods

Energy

Healthcare and Life Sciences

High Tech

Industrial Manufacturing

Insurance

Media, Entertainment and Information Services

Retail

Telecommunications

Travel, Transportation and Hospitality

Utilities

Automotive

BMW in 2013 used 'iGenius' to respond to inquiries 24 hours a day

90% of automotive participants say they use AI today; 10% plan to by 2020

In revenue improvement, auto manufacturers reported a 12% average revenue increase in the area of their AI initiative

REGIONS OF THE WORLD

We surveyed 835 executives in companies (average revenue of $20 billion and median revenue of $2.8 billion) from 13 industries across North America, Europe, Asia-Pacific, and Latin America. 84% of these companies are using AI.

North America

Firms in the region spent most on AI in 2015: $80 million on average.

Europe

European firms are catching up: they planned to invest $80 million on average (26% more than North America) in 2016.

Latin America

Companies here achieved the biggest revenue gains and the highest cost reduction through AI, while investing less than other regions.

Asia-Pacific

Companies invested $55 million, on average, in AI in 2015.

North America

North American firms reported 16% revenue increase due to AI in 2015.

8.5% firms will spend at least $250 million in 2016 on AI initiatives: more than other regions.

Making systems secure against hacking emerged as the most critical success factor.

HOW AI IS CHANGING THE WAY COMPANIES WORK

Find out how Associated Press, Microsoft, and Cloudera have benefited from cognitive technologies

Joseph Sirosh

Corporate Vice President of Information Management and Machine Learning

"The quality of the ranking results that are produced by Bing depends entirely on the machine learning models behind it. Machine learning is totally built into the fabric of the product, and is one of its biggest differentiators."

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Mike Olson

Co-founder and Chief Strategy Officer

"You wouldn't believe the difference when we call to tell them that they might have a problem later on, and suggest a fix that will keep them up and running. It's all built on machine learning."

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Jim Kennedy

Senior VP of Strategy and Enterprise Development

"We are using the technology to add value, not to replace humans with robots."